The Computer Vision and Neural Networks Laboratory (CVNN) concentrates on the use of learning strategies to enhance visual performance. R&D efforts address the areas of human-computer intelligent interaction, biometrics, data compression and fractal image representations, object recognition, motion analysis and stabilization, attention and control mechanisms, automatic target recognition, and intelligent agents for autonomous navigation.
Center for Parallel and Distributed Computation
Computer Science Department
School of Information Technologes and Engineering (ITE)
George Mason University